41. Search for type-III seesaw heavy leptons with the ATLAS detector at the LHCTadej Novak, 2020, doktorska disertacija Ključne besede: seesaw mechanism, type-III seesaw, fermion triplet, machine learning, boosted decision trees, neural networks, ATLAS, CERN, LHC Run 2, dilepton, two jets, missing transverse energy Celotno besedilo (datoteka, 6,47 MB) |
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43. Condition classification of heating systems valves based on acoustic features and machine learningPrimož Potočnik, Borja Olmos Lopez-Roso, Lučka Vodopivec, Egon Susič, Edvard Govekar, 2020, izvirni znanstveni članek Ključne besede: valves, district heating, acoustic features, feature selection, classification, machine learning Celotno besedilo (datoteka, 1,76 MB) Gradivo ima več datotek! Več... |
44. Preference elicitation with argument-based machine learningJure Grabnar, 2020, magistrsko delo Ključne besede: knowledge acquisition, preference elicitation, argument-based machine learning, convolutional neural networks, weakly supervised object localization, transfer learning, online dating Celotno besedilo (datoteka, 21,57 MB) |
45. Machine-learning-based multi-step heat demand forecasting in a district heating systemPrimož Potočnik, Primož Škerl, Edvard Govekar, 2021, izvirni znanstveni članek Ključne besede: district heating, heat demand, short-term forecasting, machine learning, Gaussian process regression Celotno besedilo (datoteka, 1,98 MB) Gradivo ima več datotek! Več... |
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47. Quantitative contact-less estimation of energy expenditure from video and 3D imageryGregor Koporec, Goran Vučković, Radoje Milić, Janez Perš, 2018, izvirni znanstveni članek Ključne besede: physical activity, energy expenditure, computer vision, optical flow, scene flow, heart rate, support vector machine, RBF kernel, KCF tracker, Microsoft Kinect, time-of-flight sensor, squash Celotno besedilo (datoteka, 7,87 MB) Gradivo ima več datotek! Več... |
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50. Automatic spiral analysis for objective assessment of motor symptoms in Parkinson's diseaseMevludin Memedi, Aleksander Sadikov, Vida Groznik, Jure Žabkar, Martin Možina, Filip Bergquist, Anders Johansson, Dietrich Haubenberger, Dag Nyholm, 2015, izvirni znanstveni članek Ključne besede: digital spiral analysis, Parkinson's disease, bradykinesia, dyskinesia, remote monitoring, machine learning, motor
fluctuations, objective measures, time series analysis, visualization Celotno besedilo (datoteka, 708,49 KB) Gradivo ima več datotek! Več... |